fit_model: Fit OLS model for a single outcome

In NRejections: Metrics for Multiple Testing with Correlated Outcomes

Description

The user does not need to call this function. Fits OLS model for a single outcome with or without centering the test statistics to enforce the global null.

Usage

fit_model(
  X,
  C = NA,
  Y,
  Ys,
  d,
  center.stats = FALSE,
  bhat.orig = NA,
  alpha = 0.05
)

Arguments

X	Single quoted name of covariate of interest
C	Vector of quoted covariate names
Y	Quoted name of single outcome for which model should be fit
Ys	Vector of all quoted outcome names
d	Dataframe
center.stats	Should test statistics be centered by original-sample estimates to enforce global null?
bhat.orig	Estimated coefficients for covariate of interest in original sample (W-vector). Can be left NA for non-centered stats.
alpha	Alpha level for individual tests

Examples

data(attitude)
fit_model( X = "complaints",
           C = c("privileges", "learning"),
           Y = "rating",
           Ys = c("rating", "raises"),
           d = attitude,
           center.stats = FALSE,
           bhat.orig = NA,  
           alpha = 0.05 )

NRejections documentation built on July 9, 2020, 5:08 p.m.